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浙江大学学报(工学版)
JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE)  2017, Vol. 51 Issue (10): 2012-2018    DOI: 10.3785/j.issn.1008-973X.2017.10.016
Civil Engineering, Transportation Engineering     
Structural damage detection based on Kalman filter and neutral axis location
YE Xiao-wei, LIU Tan, DONG Chuan-zhi, CHEN Bin
College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China
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Abstract  

The computational principle of the neutral axis location of bending beam was presented based on the theory of material mechanics. The relationship between the neutral axis location and the strain levels of the upper and bottom surfaces of the beam was derived. The wavelet multi-resolution analysis method was used to remove the temperature-induced component of long-term strain monitoring data. The Kalman filter method was used for the de-noising process of the strain data. The variation of the neutral axis location was obtained based on the de-noised strain data for the damage judgment. Results show that the wavelet multi-resolution analysis method can handle the task of multi-component strain signal decomposition. The Kalman filter method can effectively reduce the adverse effect of the noise on the determination of the neutral axis location. The results obtained by the neutral axis location-based structural damage detection with the integration of wavelet multi-resolution analysis and Kalman filter method are more reliable than those directly calculated by use of the strain data.

Received: 14 September 2016      Published: 27 September 2017
CLC:  U441  
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YE Xiao-wei, LIU Tan, DONG Chuan-zhi, CHEN Bin. Structural damage detection based on Kalman filter and neutral axis location. JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE), 2017, 51(10): 2012-2018.

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http://www.zjujournals.com/eng/10.3785/j.issn.1008-973X.2017.10.016     OR     http://www.zjujournals.com/eng/Y2017/V51/I10/2012


基于卡尔曼滤波和中性轴位置的结构损伤识别

根据材料力学理论对受弯梁中性轴位置的计算原理进行描述，导出中性轴位置与梁的上、下表面应变水平的关系式.采用小波多分辨率分析方法，去除长期应变监测数据中由温度引起的应变组分.采用卡尔曼滤波方法对应变数据进行降噪处理，基于降噪之后的应变数据得到中性轴位置的变化情况，并用于损伤判定.研究结果表明：采用小波多分辨率分析方法可以完成多组分应变信号的分解任务，采用卡尔曼滤波方法可以有效降低噪声对中性轴位置确定的不利影响，结合小波多分辨率分析和卡尔曼滤波方法的基于中性轴位置的结构损伤识别结果比直接运用应变数据计算得到的结果更加可靠.

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